Evidence map›Paper›PMID 41285930›Full record

ArticleScientific reports2025

A dynamic QCA of new quality productivity driving high quality economic development in the yellow river basin.

Yufang Shi, Xinyue Liu, Jiale Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yufang ShiSchool of Management, Xi'an University of Science and Technology, Yanta Campus, Yanta District, Xi'an , 710054, Shaanxi Province, China.
Xinyue LiuSchool of Management, Xi'an University of Science and Technology, Yanta Campus, Yanta District, Xi'an , 710054, Shaanxi Province, China. 15991528086@163.com.
Jiale ZhangSchool of Management, Xi'an University of Science and Technology, Yanta Campus, Yanta District, Xi'an , 710054, Shaanxi Province, China.

Funding

Humanities and Social Science Fund of Ministry of Education of China 21YJA630078National Natural Science Foundation of China 70901065Social Science Foundation of Shaanxi Province 2023R058
6 · The paper itself

Abstract

The high-quality economic development (HQED) of the Yellow River Basin (YRB) faces dual constraints of growth momentum transformation and regional imbalance. New Quality Productive Forces (NQP) are regarded as a key breakthrough, yet the complex causal mechanisms through which they drive HQED remain unclear. Traditional research methods fall short in uncovering the multifactorial, concurrent causal relationships and the spatio-temporal dynamics involved. Therefore, drawing on panel data from 49 prefecture-level cities in the YRB from 2012 to 2022, this study employs the CRITIC-TOPSIS method and dynamic QCA to measure the HQED index and to explore in depth the configurational pathways and dynamic processes through which NQP evolution fosters the emergence of HQED. The findings are as follows: (1) During the study period, the HQED index of the YRB exhibited a "W-shaped" evolutionary trend, with a spatial gradient of "higher in the east and lower in the west." (2) No single NQP factor emerged as a necessary condition for HQED. (3) The pathways to HQED in the YRB can be categorized into three models: the single-core innovation-driven model, the region-wide innovation resource synergy-driven model, and the comprehensive digital transformation-driven model. Technological innovation plays a universal role, but its effectiveness requires synergy with other factors to be fully realized. (4) While no obvious temporal effects were observed in the configurational pathways, significant spatial heterogeneity exists, with different urban agglomerations displaying distinct pathway preferences. This study reveals the complex interactive mechanisms through which NQP drives HQED in the YRB and provides refined policy implications for place-based and coordinated regional development.

Indexed as

Dynamic QCAHigh-quality economic developmentNew quality productive forcesYellow river basin

Identifiers

PMID41285930
PMCPMC12644885

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.